What is all this new MeSH about?
Author:
Funder
Hellenic Foundation for Research and Innovation
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences
Link
https://link.springer.com/content/pdf/10.1007/s00799-021-00304-z.pdf
Reference17 articles.
1. Abcckcr, A., Stojanovic, L.: Ontology evolution: MEDLINE case study. In: Wirtschaftsinformatik 2005, pp. 1291–1308. Physica-Verlag, Heidelberg (2005). https://doi.org/10.1007/3-7908-1624-8_68
2. Balili, C., Lee, U., Segev, A., Kim, J., Ko, M.: TermBall: tracking and predicting evolution types of research topics by using knowledge structures in scholarly big data. IEEE Access 8, 108514–108529 (2020). https://doi.org/10.1109/ACCESS.2020.3000948
3. Balogh, S.G., Zagyva, D., Pollner, P., Palla, G.: Time evolution of the hierarchical networks between PubMed MeSH terms. PLoS ONE 14(8), 9 (2019). https://doi.org/10.1371/journal.pone.0220648
4. Bushman, B., Anderson, D., Fu, G.: Transforming the medical subject headings into linked data: creating the authorized version of MeSH in RDF. J. Libr. Metadata 15(3–4), 157–176 (2015). https://doi.org/10.1080/19386389.2015.1099967
5. Cardoso, S.D., Da Silveira, M., Pruski, C.: Construction and exploitation of an historical knowledge graph to deal with the evolution of ontologies. Knowl.-Based Syst. 194, 6 (2020). https://doi.org/10.1016/j.knosys.2020.105508
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature;Journal of Biomedical Informatics;2023-10
2. The road from manual to automatic semantic indexing of biomedical literature: a 10 years journey;Frontiers in Research Metrics and Analytics;2023-09-29
3. Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06
4. WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors;Artificial Intelligence in Medicine;2023-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3